Showing 12 of 12 projects
A reliable PyTorch implementation of reinforcement learning algorithms for research and industry.
An elegant PyTorch-based deep reinforcement learning library with modular APIs for both research and application development.
A Python library providing a standardized API for multi-agent reinforcement learning environments with diverse reference games.
A collection of minimalist Gymnasium environments for autonomous driving decision-making and reinforcement learning research.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control.
A platform for developing AI bots that play Doom using visual information, designed for reinforcement learning research.
An open-source benchmark suite of continuous control robotic manipulation environments for multi-task and meta reinforcement learning.
Clean PyTorch implementations of imitation and reward learning algorithms for reinforcement learning.
A modular deep reinforcement learning framework in PyTorch for research and application, featuring ready-to-use algorithms and reproducible experiments.
A modular Python library for Reinforcement Learning with support for PyTorch, JAX, NVIDIA Warp, and multiple environment interfaces.
A high-performance, portable deep reinforcement learning library for continuous control, optimized for speed across CPUs, GPUs, and microcontrollers.
An API conversion tool providing Gymnasium and PettingZoo bindings for popular external reinforcement learning environments.
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